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OpenAI Shake-Up: Safety vs. Innovation

šŸ‘€ Security Flaws Exposed in Alexa and Siri

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OPEN AI

šŸ’» OpenAI Faces Major Changes Amid Departures and AI Safety Concerns
Insights from CNBC and The Verge

OpenAI has disbanded its team dedicated to long-term AI risks, just a year after its formation. This decision follows the departure of key figures, including co-founder Ilya Sutskever and Jan Leike, who led the Superalignment team. The team was focused on making scientific and technical breakthroughs to control AI systems more intelligent than humans.

The Decode:

  • OpenAI has reassigned members of the disbanded Superalignment team to other roles. Co-founder Ilya Sutskever and Jan Leike, leaders of the team, have left the company, citing disagreements over prioritizing safety versus product development.

  • Leike criticized OpenAI for deprioritizing safety in favor of developing new products. He highlighted that his team struggled to secure the necessary resources for critical safety research, emphasizing the need for OpenAI to become a "safety-first AGI company."

  • OpenAI acknowledged the departures and the need for further work on safety. The disbanding of the Superalignment team reflects a strategic pivot, with research director Jakub Pachocki taking over Sutskeverā€™s role as chief scientist and John Schulman assuming Leikeā€™s responsibilities.

  • Amidst these organizational changes, OpenAI launched a new AI model, GPT-4o, which offers faster performance and enhanced capabilities in text, video, and audio. This model is now available to all users, with future plans to introduce video chat functionalities.

OpenAIā€™s recent organizational changes highlight internal conflicts over prioritizing AI safety versus product development. As OpenAI continues to innovate with new AI models, addressing these safety concerns remains crucial to its mission and public trust.

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AI VULNERABILTY

šŸŽ™ļø AI Assistants Vulnerable to Audio Attacks, Study Reveals
Insights from Venture Beat and Tech Xplore

A recent study by Amazon Web Services (AWS) researchers has uncovered significant security flaws in speech-based AI assistants like Alexa, Siri, and Google Assistant. The paper, titled ā€œSpeechGuard: Exploring the Adversarial Robustness of Multimodal Large Language Models,ā€ highlights how these systems can be manipulated through carefully crafted audio attacks.

The Decode:

  • Research Findings: It was found that speech-language models (SLMs) are highly susceptible to adversarial attacks. These attacks use slight, human-imperceptible audio perturbations to alter the AI's responses drastically. The study demonstrated a 90% success rate in generating harmful outputs with full model access, and a concerning 10% success rate in real-world "black box" scenarios with limited access.

  • Security Risks: These vulnerabilities could be exploited for malicious purposes such as fraud, espionage, or causing physical harm through automated systems. The ability to transfer these attacks across different SLMs is a fundamental issue in the current training methods of these AI systems.

  • Proposed Solutions: The researchers suggest techniques like randomized smoothing, which involves adding random noise to audio inputs, to mitigate these attacks. However, they caution that this is not a foolproof solution. Lead author Raghuveer Peri emphasizes the need for continuous investment in enhancing the security and robustness of AI models against adversarial threats.

  • Training Challenges: The SLMs examined were trained on dialogue data to excel in spoken question-answering tasks, achieving over 80% on safety and helpfulness benchmarks before the attacks. This underscores the challenge of balancing advanced capabilities with security.

The study calls for collaboration between tech companies and regulators to establish stringent standards and testing protocols to ensure AI safety. Co-author Katrin Kirchhoff stresses the importance of developing AI responsibly to harness its benefits while minimizing risks.

AI LEADERS

šŸ“Š Leading Innovators in AI Foundation Models
Insights from Stanford University

The AI industry is dominated by major players, particularly in developing and releasing foundation models. Over the past year, Google has outpaced its competitors by launching the most models, including Gemini and RT-2. Since 2019, Google has released a total of 40 foundation models, followed by OpenAI with 20. In contrast, academic institutions lag, with UC Berkeley releasing three models and Stanford two this past year.

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HOT NEWS

šŸ¤ Ampere Teams Up with Qualcomm for AI, Unveils New Chip

Source - Thomson Reuters 2024

Ampere Computing is partnering with Qualcomm to introduce a new AI-focused chip, aiming to reduce power consumption in data centers. The collaboration will integrate Ampere's energy-efficient central processing chips, based on Arm Holdings' technology, with Qualcomm's AI chips. The new chip features 256 processing cores, up from 192, and will be produced using Taiwan Semiconductor Manufacturing's 3-nanometer process. 

šŸ–„ļø Microsoft to Reveal AI PC Vision at Build Conference

Source - Lucas Jackson | Reuters

Microsoft is set to unveil its vision for AI PCs at the Build Developer Conference. CEO Satya Nadella highlighted that AI will become integral to PCs in 2024. AI PCs, featuring neural processing units (NPUs), will enhance tasks like voice commands and offline AI processing. Nadella stated, "2024 will mark the year when AI will become the 'first-class part of every PC.'" 

šŸ“‚ ChatGPT Now Supports Google Drive and OneDrive Uploads

OpenAI is introducing a new feature allowing ChatGPT users to upload files directly from Google Drive and OneDrive. This capability, available to paying users, enables seamless integration for analyzing data without the need to download and re-upload files. ChatGPT can now read and process Excel, Word, and PowerPoint files, as well as their Google equivalents. 

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